Top Remote Software Engineer Jobs in Baltimore, MD

Leads the engineering organization, sets technical strategy, oversees managers, and guides architecture, reliability, security, scalability, CI/CD, and QA. Partners with Product, Design, AI, and Analytics leaders to deliver production-grade software and represent Engineering to executives, customers, partners, and investors. The role also owns recruiting, career development, headcount, vendors, cloud spend, compliance, and organizational processes while remaining hands-on when needed.

Lead end-to-end full-stack development of data and analytics products, including solution design, user interfaces, APIs, data structures, testing, deployment, and documentation. Collaborate with product owners, engineers, testers, and subject matter experts to translate requirements into scalable solutions. Use data to guide architecture and roadmap decisions, review code, validate features, communicate technical tradeoffs, and mentor developers in modern software engineering practices.

Leads architecture and development of complex backend services for a commercial health plan platform. Designs .NET Core and Azure systems, develops claims, eligibility, and benefits functionality, manages healthcare data integrations, and owns cloud infrastructure and CI/CD architecture. Provides technical leadership through code reviews, testing standards, mentoring, and architecture decisions while ensuring performance, reliability, security, and regulatory compliance.

Supports implementation and technical support for EMR interfaces that automate electronic orders and results. Leads development, testing, troubleshooting, deployment, and documentation of interoperability solutions between the company and external healthcare providers. Assesses data sources, scopes projects, performs data transformations, administers Mirth interfaces, writes SQL queries, supports production systems, trains teammates, and communicates with clients.

Supports complex IBM Z security conversion and migration engagements by analyzing customer environments, executing conversions, troubleshooting failed jobs, and maintaining conversion tools. Develops and modifies REXX code, works with z/OS security managers and mainframe technologies, investigates access controls and security definitions, and collaborates with customers and technical teams. The role also contributes to engineering practices, source control, testing, documentation, and responsible use of AI-assisted tools.

Develop and support scalable Python services, APIs, and event-driven systems for digital freight pricing and booking. Build experimentation frameworks, AI-assisted pricing harnesses, validation guardrails, real-time platforms, and machine-learning integrations. Lead architecture decisions, ensure security and reliability, mentor engineers, and collaborate across product, operations, revenue management, data science, and engineering teams.

The Workday Integrations Consultant will implement Workday solutions, gather requirements, and deliver integration technologies, while managing teams and participating in training.

Design and build reusable backend platform services, libraries, frameworks, integrations, and AWS infrastructure abstractions. Establish reliability, security, observability, testing, compatibility, and deployment standards for consuming teams. Direct AI-agent implementation through specifications and contracts, review generated and human code, manage incidents, and drive production adoption of shared platform capabilities.

Build and ship full-stack healthcare software across frontend, APIs, and databases. Lead frontend migrations, performance improvements, production AI implementations, and end-to-end product development. Use AI-assisted workflows, prototype with patients and care teams, and deliver reliable, accessible, scalable systems. Own projects independently, collaborate with customers and internal teams, and establish reusable architecture and trustworthy automation for telehealth.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.